AN IMPROVED EVOLUTIONARY PROGRAMMING ALGORITHM FOR FUZZY PROGRAMMING PROBLEMS AND ITS APPLICATION
An improved evolutionary programming algorithm is proposed for fuzzy programming problems. The idea is to mimic the physics of electromagnetism by considering each individual as an electrical charge. Charge of each individual is defined using membership functions. After calculating these charges, like the electromagnetic force, we calculate a combination force exerted on each individual. This combination force is regarded as the search direction of mutation operator. The fitness function is given by membership functions. A fuzzy model is developed for designing 3D trajectory of horizontal wells. The fuzzy model can be transformed to fuzzy programming problem and solved by our proposed method. The model is illustrated numerically and the results are efficiently.
Fuzzy programming membership function horizontal wells evolutionary programming algorithm
WEI-YI QIAN JIN ZHANG
Department of Mathematics, Bohai University, Jinzhou, 121000, China
国际会议
2006 International Conference on Machine Learning and Cybernetics(IEEE第五届机器学习与控制论坛)
大连
英文
1851-1854
2006-08-13（万方平台首次上网日期，不代表论文的发表时间）